Distributed Physically-Based Modelling Of The Entire Land Phase of The Hydrological Cycle

Storm, B.; Refsgaard, A.

doi:10.1007/978-94-009-0257-2_4

Cited by 12 publications

(16 citation statements)

References 19 publications

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“…The SHE model is in fact an implementation of the modelling paradigm proposed by Freeze and Harlan (1969). In this original blueprint different flow processes are described by the governing partial differential equations and these are then solved by discrete numerical approximations in space and time (Refsgaard and Storm, 1995;Abbott and Refsgaard, 1996;Storm and Refsgaard, 1996). The spatial variations in meteorological forcing and hydrological characteristics are then represented on this finite difference grid.…”

Section: The Modelling Frameworkmentioning

confidence: 99%

An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation

Butts

Payne

Kristensen

et al. 2004

Journal of Hydrology

447

272

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Section: The Modelling Frameworkmentioning

confidence: 99%

An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation

Butts

Payne

Kristensen

et al. 2004

Journal of Hydrology

447

272

View full text Add to dashboard Cite

“…где d 1 , d 2 -границы окрестности экстремальной точки вдоль КС, м. С этой целью пространственное распределение вещества удобно рассматривать с точки зрения вероятностного распределения [4,5]. Наиболее удобно данный подход реализовать на базе расчета кратности разбавления методом Таллинского политехнического института (ТПИ) [6] и при следующих допущениях: 1) рассматривается плоская задача (т. е. игнорируется изменение глубины водотока вдоль КС);…”

Section: постановка проблемыunclassified

Уточнение Понятия «максимально Загрязненная Часть Потока Воды» В Задачах Расчета Допустимого Сброса Сточных Вод В Водоток

Адаменко¹,

Proskurnin²

2015

ScienceRise

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“…Storm and Refsgaard (1996) noted that the parameters of the physically based equations can only be obtained through direct measurements, as long as the measuring techniques are compatible with the representative volumes for which the equations are derived and used at the appropriate scale in the model application. The determination of effective or representative parameter values for the different grid cells is the key for useful model application.…”

Section: The Mike She Modelmentioning

confidence: 99%

“…A wide (temporally and spatially) variety of outputs can be created, for instance time series of stream flow at different points in the river or two-dimensional maps of ground water levels at specific dates. The SHE model has been applied to many catchments, different in scale and origin (Bathurst and O'Connell, 1992;Storm and Refsgaard, 1996).…”

Section: The Mike She Modelmentioning

confidence: 99%

“…The statement that physically based, spatially distributed hydrological models, such as the MIKE SHE model, demonstrate great opportunity for the field of integrated water management (Storm and Refsgaard, 1996) is not undisputed. It provokes many reactions, illustrated by the dialogue in Abbott and Refsgaard (1996) or earlier research [special issue of Hydrological Processes 6(3) (1992) on the Future of Distributed Modelling].…”

Section: Introductionmentioning

confidence: 99%

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Constraining soil hydraulic parameter and output uncertainty of the distributed hydrological MIKE SHE model using the GLUE framework

Christiaens

Feyen

2002

Hydrological Processes

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Abstract:Both calibration and uncertainty assessment are mandatory steps in today's modelling process. The former considers both the inputs (input variables and parameters) as well as model results. An exploratory investigation of the applicable parameter space results in a wide spectrum of values for a specific model output. By retaining only those model realizations that mimic reality in a sufficient way, inputs and associated response can be constrained, thereby quantifying the uncertainty involved. The generalized likelihood uncertainty estimation (GLUE) framework provides a structured methodology for this purpose.The study presented focuses on the applicability of the GLUE framework within the context of the distributed hydrological model MIKE SHE. Even though all significant processes involved are incorporated within the model, the problems of calibration and uncertainty assessment cannot be avoided. This has resulted in a quest for welldelineated effective parameters crucial for sound mechanistic model application. Being a complex model, the number of possible realizations using MIKE SHE is fairly small due to computing time, and an in-depth exploratory approach is impossible. On the other hand, several output variables are available aside from the hydrological river response, like water content in the soil profile or ground water level, which can be used for retaining realistic parameter sets.This study presents some preliminary results on the applicability of the GLUE-MIKE SHE framework and associated constrained preliminary parameter and output uncertainty values. Focus was given to the influence of soil hydraulic parameters on the hydrological behaviour of a small study basin. The soil hydraulic parameters were predicted using various pedo-transfer-function approaches and moisture retention measurements in the laboratory, and these distributions were then confronted with ranges of the constrained effective parameters. For the latter, the restrictions that were imposed based on behavioural acceptance were substantial. All the traditional methods show significant uncertainty, due to heterogeneity and model error, which cannot be disregarded. The first results suggest a reasonable match among effective parameters and laboratory measurements. The use of pedo-transfer-function distributions as effective parameters, however, may provide unacceptable results, even with liberal criteria.

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Distributed Physically-Based Modelling Of The Entire Land Phase of The Hydrological Cycle

Cited by 12 publications

References 19 publications

An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation

An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation

Уточнение Понятия «максимально Загрязненная Часть Потока Воды» В Задачах Расчета Допустимого Сброса Сточных Вод В Водоток

Constraining soil hydraulic parameter and output uncertainty of the distributed hydrological MIKE SHE model using the GLUE framework

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